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Probability and computing randomized algorithms and. Assume that we run this experiment m times with x and y chosen independently. Randomized algorithms and probabilistic analysis michael. Michael mitzenmacher, eli upfal emsbachprobabilityandcomputingsolutions.
Newly added chapters and sections cover topics including normal distributions, sample complexity, vc dimension, rademacher complexity, power laws and related distributions. Michael mitzenmacher, eli upfal greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Probability and computing cmu school of computer science. Randomized algorithms and probabilitic analysis, draft by mitzenmacher and upfal. Experimental algorithms problem set due march 8 useful references.
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